Previous ERP studies have often reported two ERP components-LAN and P600-in response to subject-verb (S-V) agreement violations (e.g., the boys (*) runs). However, the latency, amplitude and scalp distribution of these components have been shown to vary depending on various experiment-related factors. One factor that has not received attention is the extent to which the relative perceptual salience related to either the utterance position (verbal inflection in utterance-medial vs. utterance-final contexts) or the type of agreement violation (errors of omission vs. errors of commission) may influence the auditory processing of S-V agreement. The lack of reports on these effects in ERP studies may be due to the fact that most studies have used the visual modality, which does not reveal acoustic information. To address this gap, we used ERPs to measure the brain activity of Australian English-speaking adults while they listened to sentences in which the S-V agreement differed by type of agreement violation and utterance position. We observed early negative and positive clusters (AN/P600 effects) for the overall grammaticality effect. Further analysis revealed that the mean amplitude and distribution of the P600 effect was only significant in contexts where the S-V agreement violation occurred utterance-finally, regardless of type of agreement violation. The mean amplitude and distribution of the negativity did not differ significantly across types of agreement violation and utterance position. These findings suggest that the increased perceptual salience of the violation in utterance final position (due to phrase-final lengthening) influenced how S-V agreement violations were processed during sentence comprehension. Implications for the functional interpretation of language-related ERPs and experimental design are discussed.
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http://dx.doi.org/10.3389/fpsyg.2016.01276 | DOI Listing |
Phys Rev Lett
December 2024
Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Health Informatics J
December 2024
The University of Queensland, Brisbane, QLD, Australia.
Objective: This study aimed to assess the practicality and trustworthiness of explainable artificial intelligence (XAI) methods used for explaining clinical predictive models.
Methods: Two popular XAIs used for explaining clinical predictive models were evaluated based on their ability to generate domain-appropriate representations, impact clinical workflow, and consistency. Explanations were benchmarked against true clinical deterioration triggers recorded in the data system and agreement was quantified.
Int J Group Psychother
October 2024
The authors explore the group leader's considerations before removing a group member from group sessions. The authors integrate an approach that warns against a too hasty decision without considering the group-as-a-whole dynamics and the possibility of scapegoating, with the approach that looks at the group therapist's countertransference that prevents them from considering the group's best interest. The rule of thumb the authors suggest is that when a severe breach of the group agreement happens, especially continuously, and when it cannot be followed by exploration, reflection, and an agreement by the group member who violated the agreement to make an effort to avoid repeating this event, the group leader might consider removing the person from the group.
View Article and Find Full Text PDFEur Phys J C Part Fields
December 2024
Clin Chem Lab Med
December 2024
Department of Medicine, University Hospital Knappschaftskrankenhaus Bochum GmbH, Ruhr-University Bochum, Bochum, Germany.
Objectives: Diurnal variation of plasma glucose levels may contribute to diagnostic uncertainty. The permissible time interval, (), was proposed as a time-dependent characteristic to specify the time within which glucose levels from two consecutive samples are not biased by the time of blood collection. A major obstacle is the lack of population-specific data that reflect the diurnal course of a measurand.
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